Literature DB >> 24162666

Color error in the digital camera image capture process.

John Penczek1, Paul A Boynton, Jolene D Splett.   

Abstract

The color error in images taken by digital cameras is evaluated with respect to its sensitivity to the image capture conditions. A parametric study was conducted to investigate the dependence of image color error on camera technology, illumination spectra, and lighting uniformity. The measurement conditions were selected to simulate the variation that might be expected in typical telemedicine situations. Substantial color errors were observed, depending on the measurement conditions. Several image post-processing methods were also investigated for their effectiveness in reducing the color errors. The results of this study quantify the level of color error that may occur in the digital camera image capture process, and provide guidance for improving the color accuracy through appropriate changes in that process and in post-processing.

Mesh:

Year:  2014        PMID: 24162666      PMCID: PMC3948926          DOI: 10.1007/s10278-013-9644-1

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

1.  Observer performance using virtual pathology slides: impact of LCD color reproduction accuracy.

Authors:  Elizabeth A Krupinski; Louis D Silverstein; Syed F Hashmi; Anna R Graham; Ronald S Weinstein; Hans Roehrig
Journal:  J Digit Imaging       Date:  2012-12       Impact factor: 4.056

2.  Color error in the digital camera image capture process.

Authors:  John Penczek; Paul A Boynton; Jolene D Splett
Journal:  J Digit Imaging       Date:  2014-04       Impact factor: 4.056

3.  Automatic colorimetric calibration of human wounds.

Authors:  Sven Van Poucke; Yves Vander Haeghen; Kris Vissers; Theo Meert; Philippe Jorens
Journal:  BMC Med Imaging       Date:  2010-03-18       Impact factor: 1.930

  3 in total
  7 in total

1.  Color error in the digital camera image capture process.

Authors:  John Penczek; Paul A Boynton; Jolene D Splett
Journal:  J Digit Imaging       Date:  2014-04       Impact factor: 4.056

2.  Development of a camera-based remote diagnostic system focused on color reproduction using color charts.

Authors:  Masato Takahashi; Ryo Takahashi; Yasuhiro Morihara; Isseki Kin; Keiko Ogawa-Ochiai; Norimichi Tsumura
Journal:  Artif Life Robot       Date:  2020-07-21

3.  Texture Management for Glossy Objects Using Tone Mapping.

Authors:  Ikumi Hirose; Kazuki Nagasawa; Norimichi Tsumura; Shoji Yamamoto
Journal:  J Imaging       Date:  2022-01-30

Review 4.  Measurement Challenges for Medical Image Display Devices.

Authors:  J Penczek; P A Boynton; R Beams; R D Sriram
Journal:  J Digit Imaging       Date:  2021-04-12       Impact factor: 4.056

5.  Comparison of color accuracy and picture quality of digital SLR, point and shoot and mobile cameras used for dental intraoral photography - A pilot study.

Authors:  Rishi Saincher; Santhosh Kumar; Pratibha Gopalkrishna; M Maithri; Pradeep Sherigar
Journal:  Heliyon       Date:  2022-04-07

6.  Medical photography using mobile devices.

Authors:  Timothy Zoltie; Sigrid Blome-Eberwein; Sarah Forbes; Mike Theaker; Walayat Hussain
Journal:  BMJ       Date:  2022-08-26

7.  Consistency and standardization of color in medical imaging: a consensus report.

Authors:  Aldo Badano; Craig Revie; Andrew Casertano; Wei-Chung Cheng; Phil Green; Tom Kimpe; Elizabeth Krupinski; Christye Sisson; Stein Skrøvseth; Darren Treanor; Paul Boynton; David Clunie; Michael J Flynn; Tatsuo Heki; Stephen Hewitt; Hiroyuki Homma; Andy Masia; Takashi Matsui; Balázs Nagy; Masahiro Nishibori; John Penczek; Thomas Schopf; Yukako Yagi; Hideto Yokoi
Journal:  J Digit Imaging       Date:  2015-02       Impact factor: 4.056

  7 in total

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